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作 者:谢志宜[1,2] 肖娟 郭庆荣 陈丹青[1,2] 罗小玲 梁耀杰[1,2] XIE Zhiyi;XIAO Juan;GUO Qingrong;CHEN Danqing;LUO Xiaoling;LIANG Yaojie(Guangdong Environmental Monitoring Center, Guangzhou 510308, China;Guangdong Environmental Protection Key Laboratory of Soil Monitoring and Heavy Metals Sourcing, Guangzhou 510308, China)
机构地区:[1]广东省环境监测中心,广东广州510308 [2]广东省环境保护土壤环境监测和重金属溯源重点实验室,广东广州510308
出 处:《生态环境学报》2017年第8期1426-1434,共9页Ecology and Environmental Sciences
基 金:国家自然科学基金项目(41201540);2016年中央土壤污染防治专项项目(粤环函[2016]1011号);国家重大科学仪器设备开发专项(2012YQ060115)
摘 要:如何平衡成本和精度之间的矛盾是区域土壤环境监测网构建亟待解决的技术难题。以广东省江门市耕地土壤砷含量为研究对象,开展基于三明治抽样的土壤环境监测点位优化研究。按照1 km×1 km网格在研究区域均匀布设3 375个点位,采用三明治抽样方法对其点位进行抽样优化,并运用Cochran公式、空间插值表征、交叉验证、独立验证等验证方法对不同期望精度下的抽样样本进行验证。结果表明,(1)期望精度为5%、10%、15%、20%的三明治抽样样本量分别为278、147、102、80个。(2)抽样结果的4种验证方法表明,期望精度为5%和10%的抽样样本能满足监测精度要求。该精度下样本量均满足利用Cochran经典公式在相应置信水平和相对误差条件下获取的合理采样数量,并且相应的半变异函数模型拟合度好、均方根误差值(RMSE)小、克里金插值代表性强。(3)期望精度为10%的抽样样本在保证监测精度不变的同时,大大降低了监测成本,其监测点位从3 375个降至147个,点位数量降低了96%。总之,抽样样本的期望精度值越小,监测精度越高。在江门市市域尺度上,期望精度为10%的三明治抽样是一种高精度、低成本、代表性强的土壤环境监测点位优化方法。It is urgent to balance the contradiction between cost and accuracy during regional soil environmental monitoring network.In this study,As content of cultivated soil in Jiangmen city in Guangdong Province was chosen to explore the optimization of soilenvironmental monitoring sites based on sandwich sampling method.The grid scale of1km×1km was used with uniformlydistributed3375sampling sites in the survey region.The monitoring sites were optimized using sandwich sampling method.Thesampling samples under different expected accuracies were evaluated by Cochran formula,spatial interpolation,cross validation,andindependent verification.The results showed that,(1)The sandwich sampling numbers of expected accuracies5%,10%,15%,and20%were278,147,102,and80,respectively.(2)The four verification methods were used to evaluate accuracy of sampling results.It was indicated that the sampling samples under expected accuracies5%and10%achieved monitoring precision.The samplenumbers of the two sampling samples met the reasonable sampling numbers on relevant confidence levels and allowable errors byCochran formula.The good fitting degrees of semivariogram models and small root mean square errors(RMSE)of the two samplingsamples were achieved.And the ordinary Kriging interpolation results had a strong representative.(3)The sandwich samplingmethod under expected accuracy10%could not only achieve the same monitoring precision,but also obviously save monitoringcost.The sampling numbers were decreased to147from3375,and96%monitoring points were reduced.In conclusion,the smallerexpected accuracy of sampling sample,the higher monitoring precision.And the site optimization method for soil environmentalmonitoring based on sandwich sampling method under expected accuracy10%has high precision,low cost,and strongrepresentative on the scale of Jiangmen city.
分 类 号:X833[环境科学与工程—环境工程]
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